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Background and aims: The impact of lipids on the overall survival (OS) of patients with malignancy has not yet been clarified. This study aimed to evaluate the effect of hyperlipidemia on the OS among Chinese patients based on Body Mass Index (BMI) stratifications and hyperlipidemia types. Method: The patients in this study were derived from the Investigation of the Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) trial. Kaplan–Meier was used to draw the survival curve, and the log-rank test was used to estimate the survival rates between each group. Cox proportional hazards regression models were used to estimate the hazard ratios (HR) and 95% confidence intervals (CI). Results: A total of 9054 patients were included in the final study, with a median age of 59 years, and 55.3% (5004) of them were males. Regarding types of hyperlipidemia, only low high-density lipoprotein was an independent risk factor for the prognosis of all patients (HR = 1.35, 95% CI: 1.25–1.45, P < 0.001), while high total cholesterol (HR = 1.01, 95% CI: 0.90–1.15, P = 0.839) and high low-density lipoprotein (HR = 1.03, 95%CI: 0.91–1.16, P = 0.680) were not. In terms of BMI stratification, the effect of triglycerides on prognosis varied; high triglycerides were an independent risk factor for the prognosis of underweight patients (HR = 1.56, 95% CI:1.05–2.32, P = 0.027) and a protective factor for overweight patients (HR = 0.75, 95% CI: 0.63–0.89, P = 0.001). However, for normal-weight patients, there was no significant statistical difference (HR = 0.88, 95%CI: 0.75–1.03, P = 0.108). Conclusions: The impact of hyperlipidemia on the OS among patients with cancer varied by different BMI and hyperlipidemia types. BMI and hyperlipidemia type ought to be considered in combination to estimate the prognosis of patients with malignancy. [ABSTRACT FROM AUTHOR]

Background: Although socioeconomic factors are important determinants of population mortality, the effect of educational level on the survival of patients with cancer in China is unclear. This study aimed to assess whether educational level is associated with the prognosis of patients with cancer and to explore the mediators of this association. Methods: This multicentre cohort study included 18,251 patients diagnosed with cancer between May 2013 and December 2018. The main parameters measured were overall survival (OS) and all‐cause mortality. The relationship between educational level and all‐cause mortality was assessed using multifactor‐corrected Cox survival analysis. Logistic regression was used to analyze the association between educational level and patient‐generated subjective global assessment (PG‐SGA). Results: The mean age of the 18,251 participants (men, 9939 [54.4%]) was 57.37 ± 11.66 years. Multifactorial survival analysis showed that patients survived longer with increasing education (university and above vs. elementary school and below; p = p = <0.001, HR = 0.84, 95% CI: 0.77–0.92), and the differences were statistically significant in different subgroups. The potential impact factors included sex, age, TNM stage, and PG‐SGA score. Logistic regression showed a significant negative association between educational level and the modifiable factor PG‐SGA (secondary vs. primary and below; p = 0.004, HR = 0.90, 95% CI: 0.83–0.97; university and above vs. primary and below; p < 0.001, HR = 0.79, 95% CI: 0.71–0.88). Conclusions: Educational level was a significant prognostic factor for patients with cancer, independent of other known prognostic factors. This association was further improved by modifying the nutritional status. [ABSTRACT FROM AUTHOR]